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A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology — Europe PMC PMID:34995293

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/34995293
DOI: 10.1371/journal.pone.0261181
License (as archived): solo-consultazione
Archived: 2026-10-08T10:21:12.450Z
SHA-256 of the archived text: d67233745a8fa2515c704e84af66e03d1929b9d115b36a010bfc16cde4b66b83
Stable URL of this page: https://metraipolis.com/documento/dc_34efee368264

How to cite

A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology — Europe PMC PMID:34995293 — Europe PMC (en), https://europepmc.org/article/MED/34995293 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_34efee368264 (Metraipolis archive dc_34efee368264, sha256 d67233745a8fa2515c704e84af66e03d1929b9d115b36a010bfc16cde4b66b83)

BibTeX

@misc{dc34efee368264,
  title = {A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology — Europe PMC PMID:34995293},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/34995293},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_34efee368264; sha256 d67233745a8fa2515c704e84af66e03d1929b9d115b36a010bfc16cde4b66b83},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/34995293. Agents can read the archived copy with the MCP tool read_document.